GroupBy.tail(n=5)
DataFrameGroupBy.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs) Return whether all
GroupBy.min()
DataFrameGroupBy.corr(method='pearson', min_periods=1) Compute pairwise correlation of columns, excluding
GroupBy.indices dict {group name -> group indices}
GroupBy.max()
GroupBy.__iter__()
DataFrameGroupBy.ffill(limit=None)
class pandas.Grouper(key=None, level=None, freq=None, axis=0, sort=False)
DataFrameGroupBy.cummin(axis=None, skipna=True, *args, **kwargs) Return cumulative minimum over requested
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